On the estimation of scale of fluctuation in geostatistics
- Submitting institution
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University of Durham
- Unit of assessment
- 12 - Engineering
- Output identifier
- 118842
- Type
- D - Journal article
- DOI
-
10.1080/17499518.2013.871189
- Title of journal
- Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards
- Article number
- -
- First page
- 129
- Volume
- 8
- Issue
- 2
- ISSN
- 17499518
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2014
- URL
-
https://doi.org/10.1080/17499518.2013.871189
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This publication won the "2017 GeoRisk most cited paper award" and the "Georisk 2014 best paper award", which involved the Editor's invitation to publish a message featuring the main findings. The paper demonstrates how to use available in-situ geotechnical data more efficiently and its content has been disseminated internationally at keynote/feature lectures delivered by the third author (https://research.tudelft.nl/en/activities/recent-developments-in-the-numerical-modelling-of-slope-failure and http://www.ic2e.org/wp-content/uploads/2018/04/Program_final_rev.pdf) and was taught in a lecture of the prestigious 2014 ALERT Doctoral School (http://alertgeomaterials.eu/data/school/2014/2014_ALERT_schoolbook.pdf). Its significance has had an impact on the early career of the lead author, including appointments to the editorial boards of Geotechnique and Canadian Geotechnical Journal.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
